Security Scan Report: d1-eta.vercel.app

Submitted: Completed: publiccompleted
This website contacted 4 IPs in 1 country across 3 domains to perform 5 HTTP transactions. The main domain is vercel.app and was registered 6 years ago.

Submitted URL: https://d1-eta.vercel.app/

AI Security Verdict

Moderate Risk

Confidence: 55%

5
Risk Score

Unranked anonymous vercel.app page using the 'Feirão Limpa Nome' debt-relief name and asking users to submit info for 'free verification', with an external chat widget. No forms or threat-intel hits verified, so it is suspicious but unproven.

Risk Factors (4)
Anonymous shared-hosting subdomain (.vercel.app) with unknown page age and no domain reputation
Use of a recognizable debt-relief program name with no verifiable official affiliation
Prompting users to submit information for a 'free verification' with no visible form, ownership or contact details
Third-party chat widget on an unrated external domain
Safety Factors (5)
No threat-intelligence Indicators of Compromise matches against the page or its resources
No JavaScript malware patterns (YARA) and no high-precision native-YARA hits
Verified form facts: 0 forms, 0 password fields, 0 payment fields — no credential or payment harvesting observed
No cross-origin credential exfiltration or JavaScript behavioral signals
The two network IDS alerts concern generic abuse-reputation of the vercel.app hosting platform, not this page's content
Domain age information unavailable

Details

Page Title

Feirão Limpa Nome

Scan Type

public

Domain Name Analysis

Within the application-focused generic top-level domain (.app), 'd1-eta.vercel.app' is registered; it also runs on subdomain 'd1-eta'. Its registrable label 'vercel' stretches across 6 characters with two vowels and 4 consonants. It segments into 2 words: ver, cel. Expect three characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://d1-eta.vercel.app/

Page Load Overview

1.38s
Total Load Time
125 KB
Total Size

Language Analysis

Primary Language

🇵🇹Portuguese
Code: pt
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:pt-BR
Text Length:367 chars
Detector Agreement:50%

Website Classification

Primary Category

unknown0% confidence
Type: static
Method: structural

All Detected Categories

No categories detected

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
264.29.17.131Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
1104.26.2.143Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1216.198.79.131Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
1172.67.68.11Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
54--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T17202C6296660006BBE5384E7FCD0B658740572C2EB2ECAFAF5CE4500BBDB5A718D3308

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

96:lr6h/7J+Oe/AT37J+Oe/ATg9SOt8sYferBebdtuy9efsna7riJidiJJimFUiuRYp:lr6h/7JXeS7JXex/27xzwm90L4

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:8252:QCybKgCDQGyQBSQASokRgDEITAB42hkXZAJBCGAJwAoHmYIMllGApA4IKWBwyMdgIECIRYg0QMAY8x0wGokZIEsIABwfIwBi

These hashes enable detection of similar websites and malware variants by comparing content similarity even when exact matches aren't found.

Image Hashes

Perceptual Hashes

Average Hash:e7e7e7e7e7e7e7e7
Perceptual Hash:b3c6999966396499
Difference Hash:4c4c4c4c4c4c4c4c
Wavelet Hash:e3e3e3e3c0c0e0e0
Color Hash:#b279d2

Other Hashes

Crop Resistant:4c4c4c4c4c4c4c4c

Scan History

Scan history not available

Unable to load historical scan data